Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go?
Multidimensional item response models are known to be difficult to estimate, with a variety of estimation and modeling strategies being proposed to handle the difficulties. While some previous studies have considered the performance of these estimation methods, they typically include only one or two...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Psych |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-8611/3/3/29 |
| _version_ | 1797517430584508416 |
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| author | Mauricio Garnier-Villarreal Edgar C. Merkle Brooke E. Magnus |
| author_facet | Mauricio Garnier-Villarreal Edgar C. Merkle Brooke E. Magnus |
| author_sort | Mauricio Garnier-Villarreal |
| collection | DOAJ |
| description | Multidimensional item response models are known to be difficult to estimate, with a variety of estimation and modeling strategies being proposed to handle the difficulties. While some previous studies have considered the performance of these estimation methods, they typically include only one or two methods, or a small number of factors. In this paper, we report on a large simulation study of between-item multidimensional IRT estimation methods, considering five different methods, a variety of sample sizes, and up to eight factors. This study provides a comprehensive picture of the methods’ relative performance, as well as each individual method’s strengths and weaknesses. The study results lead us to make recommendations for applied research, related to which estimation methods should be used under various scenarios. |
| first_indexed | 2024-03-10T07:16:31Z |
| format | Article |
| id | doaj.art-83feb9ff8b564a1e8f564a35bf9d9f27 |
| institution | Directory Open Access Journal |
| issn | 2624-8611 |
| language | English |
| last_indexed | 2024-03-10T07:16:31Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Psych |
| spelling | doaj.art-83feb9ff8b564a1e8f564a35bf9d9f272023-11-22T15:01:21ZengMDPI AGPsych2624-86112021-08-013340442110.3390/psych3030029Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go?Mauricio Garnier-Villarreal0Edgar C. Merkle1Brooke E. Magnus2Department of Sociology, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The NetherlandsDepartment of Psychological Sciences, University of Missouri, Columbia, MO 65211, USADepartment of Psychology & Neuroscience, Boston College, Chestnut Hill, MA 02467, USAMultidimensional item response models are known to be difficult to estimate, with a variety of estimation and modeling strategies being proposed to handle the difficulties. While some previous studies have considered the performance of these estimation methods, they typically include only one or two methods, or a small number of factors. In this paper, we report on a large simulation study of between-item multidimensional IRT estimation methods, considering five different methods, a variety of sample sizes, and up to eight factors. This study provides a comprehensive picture of the methods’ relative performance, as well as each individual method’s strengths and weaknesses. The study results lead us to make recommendations for applied research, related to which estimation methods should be used under various scenarios.https://www.mdpi.com/2624-8611/3/3/29IRTMIRTBayesianestimation methodsSEMMCMC |
| spellingShingle | Mauricio Garnier-Villarreal Edgar C. Merkle Brooke E. Magnus Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go? Psych IRT MIRT Bayesian estimation methods SEM MCMC |
| title | Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go? |
| title_full | Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go? |
| title_fullStr | Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go? |
| title_full_unstemmed | Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go? |
| title_short | Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go? |
| title_sort | between item multidimensional irt how far can the estimation methods go |
| topic | IRT MIRT Bayesian estimation methods SEM MCMC |
| url | https://www.mdpi.com/2624-8611/3/3/29 |
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